考虑需求方响应资源的智能输电网扩展规划

摘要

The intelligent engineering （IE） optimization theory is extended and Optimal coordination operators, chance path, αβ-chance solution are proposed by means of the IE theory and the chance measure of the uncertainty theory. Taking wind power output as a random variable and demand response resource as a fuzzy variable, smart transmission grid planning is modeled by using the IE hybrid model and is solved with the hierarchical coordination mechanism. Then the chance solution can be obtained through coordination between participators. To assess the validity of the approach proposed, tests are performed on a modified IEEE 30-bus system. The results show that the hierarchical coordination algorithm can effectively address multi-uncertainties in grid planning. Transmission grid planning that takes into account the demand response resource .has given an overall consideration of all the interests involved besides being better in performance.%以智能工程理论和不确定理论机会测度为基础，扩充了智能工程优化理论，提出了智能工程优化协调算子、机会路径和αβ-机会解。将风电出力视为随机变量、将需求方响应资源视为模糊变量，对智能输电网规划问题进行智能工程混合模型建模，并采用分层协调机制求解，通过各参与方的交互协调得到满足各方目标的智能工程机会解。利用IEEE30节点系统算例对所提方法进行验证，结果表明，分层协调求解算法可有效处理电网规划中面临的多重不确定性，考虑需求方响应资源的电网规划统筹考虑了各方利益，规划效果更优。